10 часов назад
AI Application Engineer (LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Application Engineer (LLM): Building production-grade applications and agentic systems powered by large language models with an accent on LLM workflow orchestration, data-driven evaluation, and scalable cloud deployment. Focus on designing autonomous task-execution workflows, improving model interactions through experimentation, and ensuring application reliability, security, and maintainability.
Location: Hybrid role based in Charlotte, North Carolina, or Hudson, Ohio, United States
Company
provides a technology and software platform that manages mission-critical healthcare equipment and automates procurement of parts, services, and training for healthcare providers and service organizations.
What you will do
- Design, develop, and deploy production-grade applications powered by large language models.
- Develop and orchestrate complex LLM workflows and agentic systems for autonomous decision-making and task execution.
- Apply modular design, testing, and CI/CD practices to maintain high-quality codebases.
- Evaluate and optimize LLM interactions through metrics, experimentation, and iterative research.
- Collaborate with data scientists, product managers, UX designers, and senior leaders to align AI solutions with business objectives.
- Deploy and manage secure, scalable, and reliable applications on cloud platforms.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Professional experience designing, developing, and deploying production-grade software applications.
- Strong understanding of data-driven development, experimentation, evaluation, and optimization of AI models and interactions.
- Knowledge of agentic systems and their use in automating complex tasks.
- Hands-on experience with Genkit, TypeScript, Firebase, Google Cloud Platform, Vertex AI, and Gemini.
- Legal authorization to work in the United States is required.
Nice to have
- Experience with AWS, Azure, and other AI/ML cloud services.
- Familiarity with additional AI frameworks and libraries for building and evaluating LLM applications.
- Experience researching and experimenting with LLMs to improve performance and user experience.
- Understanding of Docker, Kubernetes, and other DevOps practices.
Culture & Benefits
- Work on AI applications and scalable agentic systems addressing real-world healthcare challenges.
- Hybrid work culture with flexible, collaborative workspaces.
- Competitive compensation with incentives, equity, and comprehensive benefits.
- Benefits include a 401(k) match, health coverage, and college debt reduction.
- Professional development through training, coaching, and new experiences.
- Inclusive environment focused on collaboration, learning, and growth.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →